Modeling and optimization of electrode modified with poly(3,4-ethylenedioxythiophene)/graphene oxide composite by response surface methodology/Box-Behnken design approach

Talib, Nurul Ain A.; Salam, Faridah; Yusof, Nor Azah; Ahmad, Shahrul Ainliah Alang; Sulaiman, Yusran

doi:10.1016/j.jelechem.2017.01.032

Cited by 36 publications

(14 citation statements)

References 30 publications

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“…The second degree equation (equation ) shows the mathematical relation between the parameters for Cd(II) ions using the response surface procedure:

q_{e} = 65.37 + 13.33 ((), pH) + 5.15 ((), time) + 9.59 ((),, Cd, concentration) + 11.82 ((), adsorbent dosage) + 0.48 ((), pH) ((), time) - 1.05 ((), pH) ((),, Cd, concentration) + 0.75 ((), pH) ((), adsorbent dosage) - 0.30 ((), time) ((),, Cd, concentration) - 0.08 ((), time) ((), adsorbent dosage) + 0.18 ((),, Cd, concentration) ((), adsorbent dosage) - 2.60 ((), {pH}^{2}) - 2.19 ((), {time}^{2}) - 1.05 ((),, Cd, {concentration}^{2}) - 0.34 ((), {adsorbent dosage}^{2})

The positive mark before the parameters mentions the interactive impact of the variable on the model and the negative sign indicates a decreasing effect or the opposite impact on the model. When a raise in the amount of a variable occurs after increasing another, a positive correlation coefficient indicating the synergistic effect occurs and when the decrease of the amount of one variable is accompanied by the declining of the another variable's value, there is a negative correlation coefficient 38 …”

Section: Resultsmentioning

confidence: 99%

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Experimental study and modelling of effective parameters on removal of Cd(II) from water by halloysite/graphene quantum dots magnetic nanocomposite as an adsorbent using response surface methodology

Pirhaji

Moeinpour

Dehabadi

et al. 2020

Applied Organom Chemis

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Graphene quantum dots (GQDs) were covalently immobilized onto the NiFe2O4‐halloysite nanotubes (NiFe2O4‐HNTs) surface to fabricate a nanocomposite material utilized as an active adsorbent to eliminate Cd(II) ions from water. NiFe2O4 nanoparticles were synthesized and simultaneously deposited on HNTs. Then, the material surface was coated by APTES (aminopropyltriethoxysilane) to cause GQDs be connected to the external layer via an amide bond. The prepared nanomaterial structure was identified by TEM, XRD, FT‐IR, BET isotherm, EDS analysis and VSM (vibrating sample magnetometry). Box–Behnken design incorporated with response surface method (RSM) was utilized to find out the impact of pH, time, initial concentration of Cd(II) and adsorbent dose on cadmium removal. Study discovered that adsorption operation is the quasi‐second‐order kinetic model and adapted more precisely with Langmuir adsorption model. The Langmuir highest uptake capacity of 34.72 mg/g at 298 K was acquired. The Elovich model recommended that the process is a kind of chemisorption. The calculated thermodynamic variables verified that the uptake process is endothermic and spontaneous. Additionally, the adsorbent can be simply separated with the aid of a magnet. In this study, we have suggested a practical method for the synthesis of the NiFe2O4/halloysite nanotubes/graphene quantum dots magnetic nanoparticles for cadmium removal from water.

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“…The second degree equation (equation ) shows the mathematical relation between the parameters for Cd(II) ions using the response surface procedure:

q_{e} = 65.37 + 13.33 ((), pH) + 5.15 ((), time) + 9.59 ((),, Cd, concentration) + 11.82 ((), adsorbent dosage) + 0.48 ((), pH) ((), time) - 1.05 ((), pH) ((),, Cd, concentration) + 0.75 ((), pH) ((), adsorbent dosage) - 0.30 ((), time) ((),, Cd, concentration) - 0.08 ((), time) ((), adsorbent dosage) + 0.18 ((),, Cd, concentration) ((), adsorbent dosage) - 2.60 ((), {pH}^{2}) - 2.19 ((), {time}^{2}) - 1.05 ((),, Cd, {concentration}^{2}) - 0.34 ((), {adsorbent dosage}^{2})

Section: Resultsmentioning

confidence: 99%

“…In other words, meaningless lack of fit states that the gap between actual and expected values is negligible. Typically, p‐value smaller than 0.05 suggests the signification of the parameter, while p‐value above 0.05, indicates a meaninglessness 38 . F ratio is a critical element in the statistical survey of a model.…”

Section: Resultsmentioning

confidence: 99%

Experimental study and modelling of effective parameters on removal of Cd(II) from water by halloysite/graphene quantum dots magnetic nanocomposite as an adsorbent using response surface methodology

Pirhaji

Moeinpour

Dehabadi

et al. 2020

Applied Organom Chemis

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“…The yield of 1,4-butanediol is then statistically analyzed and optimized by Response Surface Methodology (RSM) using a Box-Behnken Design (BBD) [32,33]. The optimization process is carried out by varying three factors viz.…”

Section: Discussionmentioning

confidence: 99%

Liquid-phase hydrogenation of bio-refined succinic acid to 1,4-butanediol using bimetallic catalysts

et al. 2019

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Development of a Crotalaria juncea based biorefinery produce large quantity of waste glycerol after trans-esterification of the juncea seeds. This glycerol, after purification, is used as a substrate for producing succinic acid on a microbial route. Hydrogenation of this bio-refined succinic acid is carried out under high pressure in order to produce 1,4butanediol (BDO) using a batch slurry reactor with cobalt supported ruthenium bimetallic catalysts, synthesized inhouse. It is demonstrated that, using small amounts of ruthenium to cobalt increases the overall hydrogenation activity for the production of 1,4-butanediol. Hydrogenation reactions are carried out at various operating temperatures and pressures along with changes in the mixing ratios of ruthenium chloride and cobalt chloride hexahydrate, which are used to synthesize the catalyst. The Ru-Co bimetallic catalysts are characterized by XRD, FE-SEM and TGA. Concentrations of the hydrogenation product are analyzed using Gas chromatography-Mass spectrometry (GC-MS). Statistical analysis of the overall hydrogenation process is performed using a Box-Behnken Design (BBD).

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“…It also determines the effects of the individual variables and interactions between them on the responses. The model and model terms are considered to be significant only when the values (Prob > F) are less than 0.0500 and terms with Fisher's statistical test F-test (F model, mean square regression/mean square residual) value have greater importance to produce an effect on the response [22,23]. The ANOVA assessed the significance of the fitting of the quadratic model for both responses (Y1 and Y2).…”

Section: Discussionmentioning

confidence: 99%

Processing of Wadi Qena Kaolinitic White Sands by Selective Dispersion and Leaching for Industrial Uses

Sayed

Fathy

Salleh

et al. 2018

Journal of Al-Azhar University Engineering Sector

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Modeling and optimization of electrode modified with poly(3,4-ethylenedioxythiophene)/graphene oxide composite by response surface methodology/Box-Behnken design approach

Cited by 36 publications

References 30 publications

Experimental study and modelling of effective parameters on removal of Cd(II) from water by halloysite/graphene quantum dots magnetic nanocomposite as an adsorbent using response surface methodology

Experimental study and modelling of effective parameters on removal of Cd(II) from water by halloysite/graphene quantum dots magnetic nanocomposite as an adsorbent using response surface methodology

Liquid-phase hydrogenation of bio-refined succinic acid to 1,4-butanediol using bimetallic catalysts

Processing of Wadi Qena Kaolinitic White Sands by Selective Dispersion and Leaching for Industrial Uses

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